Information Retrieval Technology : 6th Asia Information Retrieval Societies Conference, AIRS 2010, Taipei, Taiwan, December 1-3, 2010, Proceedings

by Cheng, Pu-jen; Kan, Min-yen; Lam, Wai; Nakov, Preslav

• ISBN13: 9783642171864
• ISBN10: 3642171869
• Edition: 1st
• Format: Paperback
• Copyright: 2010-12-29
• Publisher: Springer-Verlag New York Inc

Summary

This book constitutes the refereed proceedings of the 6th Asia Information Retrieval Symposium, AIRS 2010, held in Taipei, Taiwan, in December 2010.The 26 revised full papers and 31 revised poster papers presented were carefully reviewed and selected from 120 submissions. All current aspects of information retrieval - in theory and practice - are addressed; the papers are organized in topical sections on information retrieval models, machine learning for information retrieval, user studies and evaluation, natural language processing for information retrieval, Web and question answering, and multimedia.

Table of Contents

IR Models - I
Relevance Ranking Using Kernels	p. 1
Mining YouTube to Discover Extremist Videos, Users and Hidden Communities	p. 13
Title-Based Product Search - Exemplified in a Chinese E-commerce Portal	p. 25
Relevance Model Revisited: With Multiple Document Representations	p. 37
Machine Learning for IR - I
Multi-viewpoint Based Similarity Measure and Optimality Criteria for Document Clustering	p. 49
A Text Classifier with Domain Adaptation for Sentiment Classification	p. 61
User Studies and Evaluation
Effective Time Ratio: A Measure for Web Search Engines with Document Snippets	p. 73
Investigating Characteristics of Non-click Behavior Using Query Logs	p. 85
Score Estimation, Incomplete Judgments, and Significance Testing in IR Evaluation	p. 97
Poster Session
Multi-Search: A Meta-search Engine Based on Multiple Ontologies	p. 110
Co-HITS-Ranking Based Query-Focused Multi-document Summarization	p. 121
Advanced Training Set Construction for Retrieval in Historic Documents	p. 131
Ontology-Driven Semantic Digital Library	p. 141
Revisiting Rocchio's Relevance Feedback Algorithm for Probabilistic Models	p. 151
When Two Is Better Than One: A Study of Ranking Paradigms and Their Integrations for Subtopic Retrieval	p. 162
Connecting Qualitative and Quantitative Analysis of Web Search Process: Analysis Using Search Units	p. 173
Transliteration Retrieval Model for Cross Lingual Information Retrieval	p. 183
The Role of Lexical Ontology in Expanding the Semantic Textual Content of On-Line News Images	p. 193
Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank	p. 203
Pseudo-relevance Feedback Based on mRMR Criteria	p. 211
An Integrated Deterministic and Nondeterministic Inference Algorithm for Sequential Labeling	p. 221
FolkDiffusion: A Graph-Based Tag Suggestion Method for Folksonomies	p. 231
Effectively Leveraging Entropy and Relevance for Summarization	p. 241
Machine Learning Approaches for Modeling Spammer Behavior	p. 251
Research of Sentiment Block Identification for Customer Reviews Based on Conditional Random Fields	p. 261
Semantic Relation Extraction Based on Semi-supervised Learning	p. 270
Corpus-Based Arabic Stemming Using N-Grams	p. 280
Analysis and Algorithms for Stemming Inversion	p. 290
Top-Down and Bottom-Up: A Combined Approach to Slot Filling	p. 300
Relation Extraction between Related Concepts by Combining Wikipedia and Web Information for Japanese Language	p. 310
A Chinese Sentence Compression Method for Opinion Mining	p. 320
Relation Extraction in Vietnamese Text Using Conditional Random Fields	p. 330
A Sparse L2-Regularized Support Vector Machines for Large-Scale Natural Language Learning	p. 340
An Empirical Comparative Study of Manual Rule-Based and Statistical Question Classifiers on Heterogeneous Unseen Data	p. 350
Constructing Blog Entry Classifiers Using Blog-Level Topic Labels	p. 360
Finding Hard Questions by Knowledge Gap Analysis in Question Answer Communities	p. 370
Exploring the Visual Annotatability of Query Concepts for Interactive Cross-Language Information Retrieval	p. 379
A Diary Study-Based Evaluation Framework for Mobile Information Retrieval	p. 389
Dynamics of Genre and Domain Intents	p. 399
Query Recommendation Considering Search Performance of Related Queries	p. 410
NLP for IR - I
A Local Generative Model for Chinese Word Segmentation	p. 420
Re-ranking Summaries Based on Cross-Document Information Extraction	p. 432
A Two-Stage Algorithm for Domain Adaptation with Application to Sentiment Transfer Problems	p. 443
Domain-Specific Term Rankings Using Topic Models	p. 454
Learning Chinese Polarity Lexicons by Integration of Graph Models and Morphological Features	p. 466
Machine Learning for IR - II
Learning to Rank with Supplementary Data	p. 478
Event Recognition from News Webpages through Latent Ingredients Extraction	p. 490
Tuning Machine-Learning Algorithms for Battery-Operated Portable Devices	p. 502
IR Models - II
A Unified Iterative Optimization Algorithm for Query Model and Ranking Refinement	p. 514
A Study of Document Weight Smoothness in Pseudo Relevance Feedback	p. 527
Modeling Variable Dependencies between Characters in Chinese Information Retrieval	p. 539
Web and QA
Mining Parallel Documents across Web Sites	p. 552
A Revised SimRank Approach for Query Expansion	p. 564
Improving Web-Based OOV Translation Mining for Query Translation	p. 576
On a Combination of Probabilistic and Boolean IR Models for Question Answering	p. 588
Multimedia
Emotion Tag Based Music Retrieval Algorithm	p. 599
An Aesthetic-Based Approach to Re-ranking Web Images	p. 610
Author Index	p. 625
Table of Contents provided by Ingram. All Rights Reserved.